Smartphones undermine social connectedness more in men than women: A mini mega-analysis.
Bibliographic record
Abstract
Though smartphones have been shown to undermine well-being and social connection, evidence also suggests that these effects depend on when and how people use their phones. To examine whether the effects of phones on well-being (affect valence) and social connection depend on the situation, we compiled data across eight published and unpublished experiments where phone use was manipulated (N = 1,778). These experiments included situations ranging from parents visiting a science museum with their children, eating a meal with a group of strangers, to looking for an unfamiliar building. We found that phones have a significant negative impact on peopleâs feelings of social connectedness across situations. The impact of phones on well-being, however, depended on the situation: Phones negatively impacted well-being when used during ongoing social interactions, but not when used to find information relevant to current goals. Our large data set also allowed us to examine whether the effects of phones depend on individual differences. We found that gender moderated the effects of phones on social connectedness, whereby phones negatively impacted men more than women. Overall, even after including unpublished studies with nonsignificant findings, we find that the negative effects of phones on well-being and social connection persist. Going beyond past research, however, we also show that these negative effects on social connection are driven by men more so than women.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".